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Statistical tests may be used at a healthcare organization for many purposes:
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making data-driven decisions,
Statistical tests help healthcare leaders analyze patterns, trends, and outcomes from patient data, enabling informed decision-making rather than relying on assumptions.
Example: A hospital uses regression analysis to predict readmission risk. Based on those predictions, they allocate care managers to high-risk patients.
Impact: Improves resource allocation, enhances patient care, and supports strategic planning.
comparing cost and effectiveness of healthcare services,
Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost.
Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness.
Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions.
measuring outcomes and quality improvement initiatives
Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost.
Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness.
Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions.
reporting to internal and external stakeholders
Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost.
Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness.
Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions